Prevalence and correlates of resistance training in a regional Australian population
Notice bibliographique
Résumé
Maintenance of skeletal muscle mass and strength throughout the lifespan provides numerous health benefits and can reduce decrements in quality of life associated with aging. However, national health authorities have not widely promoted strength training to the general population. Purpose: To determine the prevalence of strength training in a regional Australian population. Methods: The Population Research Laboratory at Central Queensland University conducted a Computer-Assisted-Telephone-Interview survey (N = 1289; male = 635, female = 654) during October-November 2010. Respondents were 18 years of age or older that could be contacted by a direct-dialed, land-based telephone service. A telephone database using a computer program to select, with replacement, a simple random sample of phone numbers selected respondents. Respondents were asked demographic questions and their current resistance training status. Separate bivariate logistic regression models were used to examine the associations between the demographic variables of gender (male, female), age (18-34, 35-44, 45-54, $ 55 years), years of education (1-10, 11-12, 13-14, $ 15 years), self-reported physical activity (insufficiently active, sufficiently active), self-rated health (poor, fair, good, very good, excellent) and participation in resistance training. Significance for each test was set at (p , 0.05). Results: Only 13.2% (n = 170) of the respondents were currently participating in resistance training. Significantly more males reported resistance training than females. Respondents $55 years of age were significantly less likely to participate in resistance training than 18-34 year old respondents. Furthermore, years of education, self-reported physical activity and self-rated health were each significantly, positively associated with participation in resistance exercise. Conclusions: The prevalence of Australian’s currently participating in resistance training is low and was found to be influenced by factors including gender, age, years of education, self-reported physical activity and self rated health. The findings underscore the need to increase education on the benefits of regular resistance training with an emphasis on targeting adult populations to increase participation in strength training programs. Practical Applications: Approximately 45% of older adults have been estimated to be sarcopenic with approximately 20% being classified as functionally disabled. However, aerobic activity is being heavily promoted (Australia: ‘‘Working Together for a Healthy Active Australia’’; Canada: ‘‘SummerActive’’, ‘‘WinterActive’’; America ‘‘Verb’’, ‘‘NFL Play 60’’, ‘‘America-on-the-Move’’) in favor of resistance exercise which can enhance the quality of life in older adults. It is vital that health initiatives be put in place to promote resistance exercise to promote quality of life in aging populations and reduce the economic burden of sarcopenia.
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Comment cette classification a été obtenuedéplier
Prédiction machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,001 | 0,002 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,001 | 0,001 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,001 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,001 | 0,000 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».